Vegetation coverage estimating method

Abstract

The invention discloses a vegetation coverage estimating method. The method comprises the steps of obtaining an actual vegetation coverage measuring value of a sampling point; obtaining multispectralremote sensing images of the sampling point transmitted and photographed by an unmanned aerial vehicle; preprocessing the multispectral remote sensing images to obtain a waveband image of the image reflectivity within a preset threshold value; extracting the waveband reflectivity corresponding to the pixel of the sampling point in the waveband image; applying a statistic product and service solution for performing relevance analysis on the actual vegetation coverage measuring value and the waveband reflectivity to obtain a sensitive waveband; constructing a vegetation coverage estimating modelthrough a multi-element linear regression method; screening the vegetation coverage estimation model to obtain the preferential estimating model; utilizing the selected preferential estimating modelfor estimating the vegetation coverage of the region to be measured. According to the vegetation coverage estimating method based on unmanned aerial vehicle multispectral images, the problems that according to an existing method, time and labor are wasted, the time stability is poor, and the space resolution is low are solved.

Description

technical field [0001] The invention relates to the field of quantitative remote sensing applications, in particular to a method for estimating vegetation coverage based on multispectral remote sensing images of unmanned aerial vehicles, and in particular to a method for estimating vegetation coverage. Background technique [0002] Vegetation coverage (Fractional Vegetation Cover, FVC) refers to the percentage of the vertical projection of vegetation (including leaves, stems, branches) on the ground within a unit area to the statistical area. Vegetation coverage and its changes are important indicators to describe environmental changes in regional ecosystems, and are also the main factors affecting soil degradation and soil erosion. With the deepening of research, vegetation coverage can not only monitor and evaluate the growth status of local or even regional agricultural and forestry crops qualitatively, but also can be used as a key input parameter for many quantitative m...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above-mentioned problems in the prior art, the object of the present invention is to provide a vegetation coverage estimation method to overcome the time-consuming and labor-intensive problems in simple visual estimation, instrument measurement calculation and estimation using remote sensing image data, poor temporal stability and Due to the shortcomings of low spatial resolution, the estimation of vegetation coverage in precision agriculture is not limited by cycle and weather conditions, and the technical effect is short operation cycle, high flexibility and low cost.

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